Balancing Wireless Sensing Performance and Privacy Protection With Multi-Antenna Systems

Wireless sensing uses Wi-Fi and similar signals to detect human activity like movement and sleep patterns, but broadcast signals can be intercepted by unauthorized users, creating privacy risks. This research proposes using multi-antenna signal processing (techniques that use multiple receiving antennas to manipulate wireless signals) as a privacy protection method at the physical layer (the lowest level of wireless communication, before encryption). The study analyzes the tradeoff between sensing accuracy and privacy protection by modeling the system mathematically and defining performance boundaries.